BigData
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Data Science : Big Data : Machine Learning : Deep Learning. По всем вопросам @evgenycarter
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An Extendable, Efficient and Effective Transformer-based Object Detector

Github: https://github.com/naver-ai/vidt

Paper: https://arxiv.org/abs/2204.07962v1

Dataset: https://paperswithcode.com/dataset/coco

👉 @bigdata_1
A Partition Filter Network for Joint Entity and Relation Extraction

Github: https://github.com/Coopercoppers/PFN

Paper: https://arxiv.org/abs/2108.12202v2

👉 @bigdata_1
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings


Code: https://github.com/voidism/diffcse

Paper: https://arxiv.org/abs/2204.10298v1

Dataset: https://paperswithcode.com/dataset/sst

👉 @bigdata_1
Iterative Filter Adaptive Network for Single Image Defocus Deblurring

Github: https://github.com/codeslake/IFAN

Paper: https://arxiv.org/abs/2108.13610v1

👉 @bigdata_1
PyGCL: Graph Contrastive Learning for PyTorch

Github: https://github.com/GraphCL/PyGCL

Paper: https://arxiv.org/abs/2109.01116v1

👉 @bigdata_1
Generalising via Meta-Examples for Continual Learning in the Wild

Github: https://github.com/alessiabertugli/FUSION

Article: https://arxiv.org/abs/2101.12081v1

👉 @bigdata_1
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SOLD² - Self-supervised Occlusion-aware Line Description and Detection

Github: https://github.com/cvg/SOLD2

Paper: https://arxiv.org/abs/2104.03362

👉 @bigdata_1
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NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo

Github: https://github.com/weiyithu/nerfingmvs

Paper: https://arxiv.org/abs/2109.01129v1

Project: https://weiyithu.github.io/NerfingMVS

👉 @bigdata_1
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Simulating Fluids in Real-World Still Images

surface-based layered representation(SLR), which decomposes the fluid and the static objects in the scene, to better synthesize the animated videos from a single fluid imagе

Code: https://github.com/generalizable-neural-performer/gnr

Paper: http://arxiv.org/abs/2204.11335

Project: https://simulatingfluids.github.io/

👉 @bigdata_1
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Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms

https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/

👉 @bigdata_1
Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation

Github: https://github.com/lhryang/crl_egpg

Paper: https://arxiv.org/abs/2109.01484v1

👉 @bigdata_1
Learning Neural Causal Models with Active Interventions

Github: https://github.com/nke001/causal_learning_unknown_interventions

Paper: https://arxiv.org/abs/2109.02429v1

👉 @bigdata_1
Exploring a Fine-Grained Multiscale Method for Cross-Modal Remote Sensing Image Retrieval

Github: https://github.com/xiaoyuan1996/AMFMN

Paper: https://arxiv.org/abs/2204.09868v1

Dataset: https://paperswithcode.com/dataset/kitti

👉 @bigdata_1
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